{"id":593767,"date":"2019-06-19T14:48:52","date_gmt":"2019-06-19T21:48:52","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-academic-program&p=593767"},"modified":"2023-10-04T12:57:59","modified_gmt":"2023-10-04T19:57:59","slug":"game-of-drones-competition-at-neurips-2019","status":"publish","type":"msr-academic-program","link":"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/game-of-drones-competition-at-neurips-2019\/","title":{"rendered":"Game of Drones – Competition at NeurIPS 2019"},"content":{"rendered":"\n\n
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Registration for the contest has now closed.<\/strong><\/p>\n Competition: Dec. 14th, 2019 Race Environments & Guidelines (opens in new tab)<\/span><\/a> Game of Drones is a\u00a0NeurIPS 2019 competition (opens in new tab)<\/span><\/a>\u00a0with the goal to push the boundary of building competitive autonomous systems through head-to-head drone races.<\/p>\n The teams will race a quadrotor drone in simulation through a series of gates against an opponent. There will be two drones on the same track at the same time that are allowed to block each other. The goal is to finish the race quicker than the opponent.<\/p>\n The competition uses AirSim (opens in new tab)<\/span><\/a>, which is an open-sourced simulation platform for robots. AirSim (opens in new tab)<\/span><\/a> was created to help accelerate research in deep reinforcement \/ imitation learning, computer vision and robotics for autonomous vehicles.<\/p>\n Previous drone race challenges, such as the IROS autonomous drone race challenge or the AlphaPilot challenge only need you to race against the clock.\u00a0 In contrast, here, you\u2019ll have to race\u00a0against an opponent on the same track.\u00a0<\/em>This means you can block your opponent if you are ahead and you have to overtake him when you are behind creating a whole range of interactions that your policy has to handle.<\/p>\n Besides being fun, this competition provides a fair comparison for the current state of the art.<\/p>\n If your current focus is either more on the planning or perception side, you\u2019ll most probably learn a thing or two. The audience is expected to be large \u2014 NeurIPS is the largest AI conference after all, so you can expect to get some attention if your algorithm scores high.<\/p>\n Prizes will also be awarded to the highest performing teams \u2013 we will announce them in the following weeks!<\/p>\n Register your team here (opens in new tab)<\/span><\/a>. Please make sure that your team\u2019s registration form is complete before submitting. Once submitted via your registration form, accepting any changes to registration details will be at the sole discretion of the organizers.<\/p>\n AirSim environments and detailed guidelines for the competition are available here (opens in new tab)<\/span><\/a>.<\/p>\n *New*<\/span> The submission instructions (opens in new tab)<\/span><\/a> are now available.<\/p>\n *New*<\/span> The leaderboard (opens in new tab)<\/span><\/a> is now active. (Validation round).<\/p>\n *New*<\/span> The Qualification Round will start Oct 15.<\/p>\n\n\n\n\n\n The organizing team behind the game of drones are the developers of AirSim from Microsoft Research and robotics researchers from Stanford who share the vision of a simulator realistic enough to provide a training and testing environment for autonomous mobile robots such as drones or self-driving cars.<\/p>\n Many people are helping to make this happen, but the core team consists of:<\/p>\n For any inquiries please see our FAQ section or send us an email<\/a>.<\/p>\n\n\n\n\n\n \n
NeurIPS 2019
Vancouver, B.C. Canada<\/p>\nUseful Links<\/h3>\n
<\/b>*New*<\/span><\/strong> S (opens in new tab)<\/span><\/a>ubmission Instructions (opens in new tab)<\/span><\/a>
*New* <\/span><\/strong>Leaderboard (opens in new tab)<\/span><\/a>
<\/strong>AirSim (opens in new tab)<\/span><\/a><\/p>\nPush the boundaries of competitive autonomous systems<\/h2>\n
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What\u2019s special about this competition?<\/h3>\n
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\nThe competition comes in three tiers of different difficulty and level of autonomy.<\/h3>\n
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Given: Ground-truth poses of your and your opponent\u2019s drone.
Challenge: Finish the track quicker than your opponent, without crashing.<\/li>\n
Given: Camera images (RGB from the front camera) and ground-truth pose of your drone.
Challenge: Finish the track as quick as possible, without crashing.<\/li>\n
Given: Camera images (RGB from the front camera) and ground-truth poses of your but not your opponent\u2019s drone.
Challenge: Finish the track quicker than your opponent, without crashing.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\nWhy should I participate\/care about the game of drones?<\/h3>\n
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\nWe’ll release our submission as an opponent in the online interface to benchmark against. Note that the code will not be made available.<\/li>\n
\nAll submissions made in the timeframe above will be considered for qualification.<\/p>\n\n
\nLast possible change to the reference submission, to allow participants enough
\ntime to adjust their algorithms.<\/li>\n
\nThe detailed qualification rules will be released, specifying what exactly has to be passed to be qualified for the placement rounds.<\/li>\n
\nAnnouncement of qualified teams for the live challenge, invitation for poster presen-
\ntation.<\/li>\n
\nAll present qualified teams participate in the live competition.<\/li>\n<\/ul>\n\n\n\n\n\nWho is behind this?<\/h3>\n
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\n \tHow do I register? <\/h4>\n